Machine learning models must first be trained. That training results in a model which must be serialized or packaged up in some way as a deployment artifact. A popular deployment path is using Tensorflow.js to take advantage of the portability of JavaScript, allowing your model to be run on a web server or client.
Gant Laborde is Chief Innovation Officer at Infinite Red, a React Native consulting team and the author of Learning TensorFlow.js: Powerful Machine Learning in JavaScript from O’Reilly. In this interview, we explore use cases for Tensorflow.js.
Sponsorship inquiries: sponsor@softwareengineeringdaily.com
The post Learning Tensorflow.js with Gant Laborde appeared first on Software Engineering Daily.
